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Stacked barchart, bottom parameter triggers Error: Shape mismatch: objects cannot be broadcast to a single shape

Shape Error in TensorflowXGBClassifier error! ValueError: feature_names mismatch:Import Error: cannot import name 'cv2'Value Error: Operands could not be broadcast together with shapes - LSTMKeras shape error in applications Inception Resnet v2error when input function called with shape (2,2)Error : Keras cannot resolve link for downloading weightsHow to solve this ? Value Error : operands could not be broadcast together with shapes (0,) (100,522)could not broadcast input array from shape (2,3) into shape (3) while using timestamp to build neural network in pythonPercentage stacked bar chart - error = “TypeError: only size-1 arrays can be converted to Python scalars” - why x & y values are not recognized?

1

$begingroup$

I am working in python3 and I want to obtain a satcked barchart plot, showing three different variables on 5 different columns.
My code works fine if I do not add the 'bottom parameter' in plt.bar (but I need to, in order for the stacks to appear in the correct order):

import numpy as np
import matplotlib as plt

columns=['a','b','c','d','e']
pos = np.arange(5)
var_one=[40348,53544,144895,34778,14322,53546,33623,76290,53546]
var_two=[15790,20409,87224,22085,6940,27099,17575,41862,27099]
var_three=[692,3254,6645,1237,469,872,569,3172,872]

plt.bar(pos,var_one,color='green',edgecolor='green')
plt.bar(pos,var_two,color='purple',edgecolor='purple')
plt.bar(pos,var_three,color='yellow',edgecolor='yellow')
plt.xticks(pos, columns)
plt.show()

However, once I add the bottom parameter in bar.plot (as shown below):

import numpy as np
import matplotlib as plt

columns=['a','b','c','d','e']
pos = np.arange(5)
var_one=[40348,53544,144895,34778,14322,53546,33623,76290,53546]
var_two=[15790,20409,87224,22085,6940,27099,17575,41862,27099]
var_three=[692,3254,6645,1237,469,872,569,3172,872]

plt.bar(pos,var_one,color='green',edgecolor='green')
plt.bar(pos,var_two,color='purple',edgecolor='purple',bottom=var_one)
plt.bar(pos,var_three,color='yellow',edgecolor='yellow',bottom=var_one+var_two)
plt.xticks(pos, columns)
plt.show()

the code triggers the error

ValueError: shape mismatch: objects cannot be broadcast to a single shape

How could I fix it?

python matplotlib

share|improve this question

asked yesterday

CamillaCamilla

83

New contributor

Camilla is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

add a comment | 

1

$begingroup$

I am working in python3 and I want to obtain a satcked barchart plot, showing three different variables on 5 different columns.
My code works fine if I do not add the 'bottom parameter' in plt.bar (but I need to, in order for the stacks to appear in the correct order):

import numpy as np
import matplotlib as plt

columns=['a','b','c','d','e']
pos = np.arange(5)
var_one=[40348,53544,144895,34778,14322,53546,33623,76290,53546]
var_two=[15790,20409,87224,22085,6940,27099,17575,41862,27099]
var_three=[692,3254,6645,1237,469,872,569,3172,872]

plt.bar(pos,var_one,color='green',edgecolor='green')
plt.bar(pos,var_two,color='purple',edgecolor='purple')
plt.bar(pos,var_three,color='yellow',edgecolor='yellow')
plt.xticks(pos, columns)
plt.show()

However, once I add the bottom parameter in bar.plot (as shown below):

import numpy as np
import matplotlib as plt

columns=['a','b','c','d','e']
pos = np.arange(5)
var_one=[40348,53544,144895,34778,14322,53546,33623,76290,53546]
var_two=[15790,20409,87224,22085,6940,27099,17575,41862,27099]
var_three=[692,3254,6645,1237,469,872,569,3172,872]

plt.bar(pos,var_one,color='green',edgecolor='green')
plt.bar(pos,var_two,color='purple',edgecolor='purple',bottom=var_one)
plt.bar(pos,var_three,color='yellow',edgecolor='yellow',bottom=var_one+var_two)
plt.xticks(pos, columns)
plt.show()

the code triggers the error

ValueError: shape mismatch: objects cannot be broadcast to a single shape

How could I fix it?

python matplotlib

share|improve this question

asked yesterday

CamillaCamilla

83

New contributor

Camilla is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

add a comment | 

$begingroup$

I am working in python3 and I want to obtain a satcked barchart plot, showing three different variables on 5 different columns.
My code works fine if I do not add the 'bottom parameter' in plt.bar (but I need to, in order for the stacks to appear in the correct order):

import numpy as np
import matplotlib as plt

columns=['a','b','c','d','e']
pos = np.arange(5)
var_one=[40348,53544,144895,34778,14322,53546,33623,76290,53546]
var_two=[15790,20409,87224,22085,6940,27099,17575,41862,27099]
var_three=[692,3254,6645,1237,469,872,569,3172,872]

plt.bar(pos,var_one,color='green',edgecolor='green')
plt.bar(pos,var_two,color='purple',edgecolor='purple')
plt.bar(pos,var_three,color='yellow',edgecolor='yellow')
plt.xticks(pos, columns)
plt.show()

However, once I add the bottom parameter in bar.plot (as shown below):

import numpy as np
import matplotlib as plt

columns=['a','b','c','d','e']
pos = np.arange(5)
var_one=[40348,53544,144895,34778,14322,53546,33623,76290,53546]
var_two=[15790,20409,87224,22085,6940,27099,17575,41862,27099]
var_three=[692,3254,6645,1237,469,872,569,3172,872]

plt.bar(pos,var_one,color='green',edgecolor='green')
plt.bar(pos,var_two,color='purple',edgecolor='purple',bottom=var_one)
plt.bar(pos,var_three,color='yellow',edgecolor='yellow',bottom=var_one+var_two)
plt.xticks(pos, columns)
plt.show()

the code triggers the error

ValueError: shape mismatch: objects cannot be broadcast to a single shape

How could I fix it?

python matplotlib

share|improve this question

asked yesterday

CamillaCamilla

83

New contributor

Camilla is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

$endgroup$

import numpy as np
import matplotlib as plt

columns=['a','b','c','d','e']
pos = np.arange(5)
var_one=[40348,53544,144895,34778,14322,53546,33623,76290,53546]
var_two=[15790,20409,87224,22085,6940,27099,17575,41862,27099]
var_three=[692,3254,6645,1237,469,872,569,3172,872]

plt.bar(pos,var_one,color='green',edgecolor='green')
plt.bar(pos,var_two,color='purple',edgecolor='purple')
plt.bar(pos,var_three,color='yellow',edgecolor='yellow')
plt.xticks(pos, columns)
plt.show()

import numpy as np
import matplotlib as plt

columns=['a','b','c','d','e']
pos = np.arange(5)
var_one=[40348,53544,144895,34778,14322,53546,33623,76290,53546]
var_two=[15790,20409,87224,22085,6940,27099,17575,41862,27099]
var_three=[692,3254,6645,1237,469,872,569,3172,872]

plt.bar(pos,var_one,color='green',edgecolor='green')
plt.bar(pos,var_two,color='purple',edgecolor='purple',bottom=var_one)
plt.bar(pos,var_three,color='yellow',edgecolor='yellow',bottom=var_one+var_two)
plt.xticks(pos, columns)
plt.show()

ValueError: shape mismatch: objects cannot be broadcast to a single shape

share|improve this question

asked yesterday

CamillaCamilla

83

New contributor

Camilla is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

share|improve this question

asked yesterday

CamillaCamilla

83

New contributor

Camilla is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked yesterday

CamillaCamilla

83

New contributor

Camilla is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.

asked yesterday

CamillaCamilla

83

1 Answer
1

active

oldest

votes

1

$begingroup$

if you change your code to the following:

import numpy as np
import matplotlib.pyplot as plt

columns = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'j']
pos = np.arange(9)
var_one = np.array([40348, 53544, 144895, 34778, 14322, 53546, 33623, 76290, 53546])
var_two = np.array([15790, 20409, 87224, 22085, 6940, 27099, 17575, 41862, 27099])
var_three = np.array([692, 3254, 6645, 1237, 469, 872, 569, 3172, 872])

plt.bar(pos, np.add(np.add(var_three, var_two), var_one), color='yellow', edgecolor='yellow')
plt.bar(pos, np.add(var_two, var_one), color='purple', edgecolor='purple')
plt.bar(pos, var_one, color='green', edgecolor='green')
plt.xticks(pos, columns)
plt.show()

The result will be like this:

share|improve this answer

edited yesterday

answered yesterday

alireza zolanvarialireza zolanvari

15311

$endgroup$

• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  Just by adding its value to the values of two other categories at the respective column. in this case you the yticks are not meaningful
  $endgroup$
  – alireza zolanvari
  yesterday
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  The code was modified. Is it what you want?
  $endgroup$
  – alireza zolanvari
  yesterday
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  I see now, thank you, I thought I had to use another parameter. For people who will look up this page in the future: number of columns does not need to be changed to 9, can be any number you need it to be.
  $endgroup$
  – Camilla
  yesterday
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  feel free to edit my answer
  $endgroup$
  – alireza zolanvari
  yesterday
  

  
  
  
  

add a comment | 

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1

$begingroup$

if you change your code to the following:

import numpy as np
import matplotlib.pyplot as plt

columns = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'j']
pos = np.arange(9)
var_one = np.array([40348, 53544, 144895, 34778, 14322, 53546, 33623, 76290, 53546])
var_two = np.array([15790, 20409, 87224, 22085, 6940, 27099, 17575, 41862, 27099])
var_three = np.array([692, 3254, 6645, 1237, 469, 872, 569, 3172, 872])

plt.bar(pos, np.add(np.add(var_three, var_two), var_one), color='yellow', edgecolor='yellow')
plt.bar(pos, np.add(var_two, var_one), color='purple', edgecolor='purple')
plt.bar(pos, var_one, color='green', edgecolor='green')
plt.xticks(pos, columns)
plt.show()

The result will be like this:

share|improve this answer

edited yesterday

answered yesterday

alireza zolanvarialireza zolanvari

15311

$endgroup$

• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  Just by adding its value to the values of two other categories at the respective column. in this case you the yticks are not meaningful
  $endgroup$
  – alireza zolanvari
  yesterday
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  The code was modified. Is it what you want?
  $endgroup$
  – alireza zolanvari
  yesterday
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  I see now, thank you, I thought I had to use another parameter. For people who will look up this page in the future: number of columns does not need to be changed to 9, can be any number you need it to be.
  $endgroup$
  – Camilla
  yesterday
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  feel free to edit my answer
  $endgroup$
  – alireza zolanvari
  yesterday
  

  
  
  
  

add a comment | 

1

$begingroup$

if you change your code to the following:

import numpy as np
import matplotlib.pyplot as plt

columns = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'j']
pos = np.arange(9)
var_one = np.array([40348, 53544, 144895, 34778, 14322, 53546, 33623, 76290, 53546])
var_two = np.array([15790, 20409, 87224, 22085, 6940, 27099, 17575, 41862, 27099])
var_three = np.array([692, 3254, 6645, 1237, 469, 872, 569, 3172, 872])

plt.bar(pos, np.add(np.add(var_three, var_two), var_one), color='yellow', edgecolor='yellow')
plt.bar(pos, np.add(var_two, var_one), color='purple', edgecolor='purple')
plt.bar(pos, var_one, color='green', edgecolor='green')
plt.xticks(pos, columns)
plt.show()

The result will be like this:

share|improve this answer

edited yesterday

answered yesterday

alireza zolanvarialireza zolanvari

15311

$endgroup$

• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  Just by adding its value to the values of two other categories at the respective column. in this case you the yticks are not meaningful
  $endgroup$
  – alireza zolanvari
  yesterday
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  The code was modified. Is it what you want?
  $endgroup$
  – alireza zolanvari
  yesterday
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  I see now, thank you, I thought I had to use another parameter. For people who will look up this page in the future: number of columns does not need to be changed to 9, can be any number you need it to be.
  $endgroup$
  – Camilla
  yesterday
  

  
  
  
  


• 
  
  
  

  
  

  
  
  
  
  
  

  
  $begingroup$
  feel free to edit my answer
  $endgroup$
  – alireza zolanvari
  yesterday
  

  
  
  
  

add a comment | 

$begingroup$

if you change your code to the following:

import numpy as np
import matplotlib.pyplot as plt

columns = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'j']
pos = np.arange(9)
var_one = np.array([40348, 53544, 144895, 34778, 14322, 53546, 33623, 76290, 53546])
var_two = np.array([15790, 20409, 87224, 22085, 6940, 27099, 17575, 41862, 27099])
var_three = np.array([692, 3254, 6645, 1237, 469, 872, 569, 3172, 872])

plt.bar(pos, np.add(np.add(var_three, var_two), var_one), color='yellow', edgecolor='yellow')
plt.bar(pos, np.add(var_two, var_one), color='purple', edgecolor='purple')
plt.bar(pos, var_one, color='green', edgecolor='green')
plt.xticks(pos, columns)
plt.show()

The result will be like this:

share|improve this answer

edited yesterday

answered yesterday

alireza zolanvarialireza zolanvari

15311

$endgroup$

import numpy as np
import matplotlib.pyplot as plt

columns = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'j']
pos = np.arange(9)
var_one = np.array([40348, 53544, 144895, 34778, 14322, 53546, 33623, 76290, 53546])
var_two = np.array([15790, 20409, 87224, 22085, 6940, 27099, 17575, 41862, 27099])
var_three = np.array([692, 3254, 6645, 1237, 469, 872, 569, 3172, 872])

plt.bar(pos, np.add(np.add(var_three, var_two), var_one), color='yellow', edgecolor='yellow')
plt.bar(pos, np.add(var_two, var_one), color='purple', edgecolor='purple')
plt.bar(pos, var_one, color='green', edgecolor='green')
plt.xticks(pos, columns)
plt.show()

share|improve this answer

edited yesterday

answered yesterday

alireza zolanvarialireza zolanvari

15311

answered yesterday

alireza zolanvarialireza zolanvari

15311

answered yesterday

alireza zolanvarialireza zolanvari

15311